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. To apply, click the 'Apply' button, above, and select “PhD in Mechanical Engineering – Materials and Manufacturing” before uploading your documents. For informal enquiries, please contact Dr Jun Jiang
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. The project is sponsored by Constellium, a global leading manufacturer of high-quality technically advanced aluminium products and systems. PROJECT Successful applicants will receive an annual stipend
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operational data and machine learning. You will be based at UCL mechanical Engineering, and collaborate with industry and port partners on system design, prototyping, and lab-based trials. Key responsibilities
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to produce high-quality journal publications and scientific manuscripts. Experience presenting research clearly at international conferences and industry workshops. Proven ability to manage your time
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, Technology & Environment, and Society & Professions Practical experience: Access to industry partnerships, civic engagement initiatives, and applied research projects that make real impact. Comprehensive
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Description: Freshwater ecosystems face increasing stress from pharmaceutical pollution and climate change. Rising temperatures might enhance antibiotic efficacy and, when combined with antibiotic mixtures
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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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. The project is sponsored by Constellium , a global leading manufacturer of high-quality technically advanced aluminium products and systems. Successful applicants will receive an annual stipend (bursary
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specifically investigate the cybersecurity benefits for frontline workers in manufacturing and healthcare contexts. It will also explore broader security and privacy implications for knowledge workers
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory